Lilan Peng

According to our database, Lilan Peng authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting.

Jie Hu, Taichuan Zheng, Lilan Peng, Fei Teng, Shengdong Du, Tianrui Li

IEEE Trans. Big Data, October, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

CoRR, September, 2025

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers.

Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu

CoRR, August, 2025

Learning dynamic and multi-scale graph structure for traffic demand prediction.

Lilan Peng, Chongshou Li, Wuyang Zhang, Weijie Yu, Tianrui Li

Int. J. Mach. Learn. Cybern., June, 2025

FAHC: frequency adaptive hypergraph constraint for collaborative filtering.

Yu Tang, Lilan Peng, Zhendong Wu, Jie Hu, Pengfei Zhang, Hongchun Lu

Appl. Intell., February, 2025

I2QD: Unsupervised feature selection via information quality, quantity, and difference degree.

Pengfei Zhang, Yuxin Zhao, Lvhui Hu, Dexian Wang, Lilan Peng, Zhong Li, Herwig Unger, Tianrui Li

Inf. Process. Manag., 2025

2024

Redis-based full-text search extensions for relational databases.

Xuehua Liao, Lilan Peng, Ting Yang, Tianrui Li, Zhousen Zhu

Int. J. Mach. Learn. Cybern., October, 2024

An Overview Based on the Overall Architecture of Traffic Forecasting.

Lilan Peng, Xuehua Liao, Tianrui Li, Xiangyu Guo, Xiu Wang

Data Sci. Eng., September, 2024

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting.

Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li

Inf. Fusion, 2024

WGLora: Efficient fine-tuning method integrating weights and gradient low-rank adaptation.

Qingyun Lin, Wenlin He, Qian Zhang, Zihan Peng, Zhendong Wu, Lilan Peng

Proceedings of the 2024 12th International Conference on Communications and Broadband Networking, 2024

2023

Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction.

Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease.

Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022